Data Science and Analytics,Executive MS

New England College offers a Data Science and Analytics program. It is designed for working professionals and provides a fast-track for students to develop in new and emerging technologies in the IT and Cybersecurity fields. The program is delivered in a hybrid format with online work during the semester and on-campus residencies. Prerequisites include general knowledge of IT systems and processes, completion of a U.S. master's degree, and eligibility for an internship/job in the U.S.

Degree Course Requirements - 36 credit hours

• - CT 5130 - Introduction to SQL for Data Analytics Credits: 3
• - CT 5150 - Data Science Tools Credits: 3
• - CT 5325 - Data Mining and Statistical Modeling Credits: 3
• - CT 6445 - Visual Analytics Credits: 3
• - CT 6535 - Python and Data Analytics Credits: 3
• - CT 6570 - Web Analytics Credits: 3
• - CT 6710 - Spreadsheets for Business Analysis Credits: 3
• - CT 6760 - Text Analytics and Natural Language Processing Credits: 3
• - CT 6910 - Machine Learning Credits: 3
• - CT 6920 - Big Data Tools and Architecture Credits: 3

6 Credits Required From (6 units)
CT 591x - Internship in Data Analytics
This internship series allows students to overlay the academic and theoretical study of Data Analytics with practical experience in the field. Students have the means to apply academic concepts to solve real world business problems.  The internship is designed for students to better understand the work expectations and individual organizational culture. Credits: 1 to 4

For a complete description of the above requirements, please go to the Course Catalog.